21–26 of 26 posts
Hey everyone, we are creating a CompreFace - face recognition solution for developers that could be used without a machine learning experience. It can be used as any paid SaaS like Amazon Rekognition, but it’s totally free. How to use it: 1. Start the service with one command using docker-compose config 2. Use UI to create face collections 3. Use REST API to add faces to face collections and recognize faces We also h…
Hey everyone, we are creating a CompreFace - face recognition solution for developers that could be used without a machine learning experience. It can be used as any paid SaaS like Amazon Rekognition, but it’s totally free. How to use it: 1. Start the service with one command using docker-compose config 2. Use UI to create face collections 3. Use REST API to add faces to face collections and recognize faces We also h…
I'd love to see this in https://www.home-assistant.io/ !
But it would be better if someone from home-assistant community create it, as they already know how to run and test the system. We will be happy to help them in this case.
I'll still add it to our backlog, I believe IoT is very promising direction for CompreFace, so I would like to support such things in the future.
https://reclaimyourface.eu
If I was EU citizen I would definitely sign this petition!
This sphere should be regulated properly. Face recognition is already in use in almost all EU countries. And who can afford it now? Only government and big companies have money to use it. Do they want to regulate themselves? Don’t think so.
CompreFace is free and, at least for now, I think it will be used only by enthusiasts. Then if face recognition became popular among small companies, the government would like to regulate it.
Another point - CompreFace stores the data only in the local storage. Unlike any SaaS solution, the government can’t just ask CompreFace to share the data, we just don’t have it. And, the thing I forgot to mention, there is a mode in which CompreFace doesn’t store photos!
And last, but not least, I understand that when face recognition is used on a huge scale, it could lead to very unpleasant consequences. E.g. in the worst scenario, if a face recognition system in the airport thinks you are a criminal - you can miss your flight and your vacation will be ruined. But what if small businesses use face recognition? E.g. if your local gym adds face recognition and when you enter the building, the person on check-in says to you “Hey Mr. X, welcome back, your personal trainer is waiting for you”, and the trainer has already received a notification that you are here. The worst scenario - the person on check-in says not your name. And the best thing that we will be able to learn from these mistakes, and the mistakes won’t be so painful.
Disclaimer, this is my own opinion and may not coincide with the official opinion of the company.
Earlier quoted context omitted.
We are going to add landmarks information in one of the next releases. I think It could be calculated from this data. But I understand that it's better to add such functionality to CompreFace, I'll add this to our backlog About comparison with other systems - as I mentioned we use Facenet under the hood. According to their GitHub, the accuracy on LFW data set is 99.65%: https://github.com/davidsandberg/facenet#pre-tr…
It sounded like the previous comment wasn't asking for orientation detection as a feature. I interpreted the question to be asking under what orientations CompreFace can be expected to work.
Earlier quoted context omitted.
It sounded like the previous comment wasn't asking for orientation detection as a feature. I interpreted the question to be asking under what orientations CompreFace can be expected to work.
Yes, what are the allowed degrees of rotation away from looking at the camera that a face will be detected? And is there a curve demonstrating the FR accuracy as face rotation away from looking directly at the camera increases?
Earlier quoted context omitted.
Yes, what are the allowed degrees of rotation away from looking at the camera that a face will be detected? And is there a curve demonstrating the FR accuracy as face rotation away from looking directly at the camera increases?
hmm... good question. I haven't found any information for FaceNet that we use. Do you have similar information for any other face recognition system? I would like to see how they calculate it.